Automatic programming of robots using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Koza:1192:robGP,
  author =       "John R. Koza and James P. Rice",
  title =        "Automatic programming of robots using genetic
                 programming",
  booktitle =    "Proceedings of Tenth National Conference on Artificial
                 Intelligence",
  year =         "1992",
  pages =        "194--201",
  publisher_address = "Menlo Park, CA, USA",
  publisher =    "AAAI Press/MIT Press",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.com/jkpdf/aaai1992.pdf",
  size =         "10 pages",
  abstract =     "The goal in automatic programming is to get a computer
                 to perform a task by telling it what needs to be done,
                 rather than by explicitly programming it. This paper
                 considers the task of automatically generating a
                 computer program to enable an autonomous mobile robot
                 to perform the task of moving a box from the middle of
                 an irregular shaped room to the wall. We compare the
                 ability of the recently developed genetic programming
                 paradigm to produce such a program to the reported
                 ability of reinforcement learning techniques, such as Q
                 learning, to produce such a program in the style of the
                 subsumption architecture. The computational
                 requirements of reinforcement learning necessitates
                 considerable human knowledge and intervention, whereas
                 genetic programming comes much closer to achieving the
                 goal of getting the computer to perform the task
                 without explicitly programming it. The solution
                 produced by genetic programming emerges as a result of
                 Darwinian natural selection and genetic crossover
                 (sexual recombination) in a population of computer
                 programs. The process is driven by a fitness measure
                 which communicates the nature of the task to the
                 computer and its learning paradigm.",
}

Genetic Programming entries for John Koza James P Rice

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